Smart Book Recommender Evaluation Data

This dataset contains all the data regarding the evaluation study of the Smart Book Recommender (SBR). SBR is a semantically enhanced recommendation engine, developed in collaboration with Springer Nature (SN), for suggesting Springer books, journals and conference proceedings for conferences. SBR characterises conference in terms of their associated semantic topic covered in their proceedings and apply cosine pairwise similarity computation to find recommendations. <br>We evaluated SBR on conference series in the field of Computer Science with the help of seven SN editors and seven researchers from The Open University. The evaluation consisted of two parts: i) A quantitative analysis, which focused on analysing how evaluators rated each recommended item outputted by the SBR for two conference series of their choosing and, ii) A qualitative analysis, which focused on analysing the answers of the surveys that the evaluators completed after a hands-on session with SBR.